Matches in SemOpenAlex for { <https://semopenalex.org/work/W2107053485> ?p ?o ?g. }
- W2107053485 endingPage "761" @default.
- W2107053485 startingPage "745" @default.
- W2107053485 abstract "One of the major challenges for researchers studying phylogeography and shallow-scale phylogenetics is the identification of highly variable and informative nuclear loci for the question of interest. Previous approaches to locus identification have generally required extensive testing of anonymous nuclear loci developed from genomic libraries of the target taxon, testing of loci of unknown utility from other systems, or identification of loci from the nearest model organism with genomic resources. Here, we present a fast and economical approach to generating thousands of variable, single-copy nuclear loci for any system using next-generation sequencing. We performed Illumina paired-end sequencing of three reduced-representation libraries (RRLs) in chorus frogs (Pseudacris) to identify orthologous, single-copy loci across libraries and to estimate sequence divergence at multiple taxonomic levels. We also conducted PCR testing of these loci across the genus Pseudacris and outgroups to determine whether loci developed for phylogeography can be extended to deeper phylogenetic levels. Prior to sequencing, we conducted in silico digestion of the most closely related reference genome (Xenopus tropicalis) to generate expectations for the number of loci and degree of coverage for a particular experimental design. Using the RRL approach, we: (i) identified more than 100,000 single-copy nuclear loci, 6339 of which were obtained for divergent conspecifics and 904 of which were obtained for heterospecifics; (ii) estimated average nuclear sequence divergence at 0.1% between alleles within an individual, 1.1% between conspecific individuals that represent two different clades, and 1.8% between species; and (iii) determined from PCR testing that 53% of the loci successfully amplify within-species and also many amplify to the genus-level and deeper in the phylogeny (16%). Our study effectively identified nuclear loci present in the genome that have levels of sequence divergence on par with mitochondrial loci commonly used in phylogeography. Specifically, we estimated that ~7% of loci in the chorus frog genome are >3% divergent within species; this translates to a prediction of approximately 50,000 single-copy loci in the genome with >3% divergence. Moreover, successful amplification of many loci at deeper phylogenetic levels indicates that the RRL approach represents an efficient method for rapid identification of informative loci for both phylogenetics and phylogeography. We conclude by making recommendations for minimizing the cost and maximizing the efficiency of locus identification for future studies in this field." @default.
- W2107053485 created "2016-06-24" @default.
- W2107053485 creator A5014135253 @default.
- W2107053485 creator A5015429043 @default.
- W2107053485 date "2012-06-27" @default.
- W2107053485 modified "2023-10-10" @default.
- W2107053485 title "High-Throughput Identification of Informative Nuclear Loci for Shallow-Scale Phylogenetics and Phylogeography" @default.
- W2107053485 cites W1548848739 @default.
- W2107053485 cites W1577203045 @default.
- W2107053485 cites W1945381458 @default.
- W2107053485 cites W1964422196 @default.
- W2107053485 cites W1999431196 @default.
- W2107053485 cites W2002026855 @default.
- W2107053485 cites W2040441669 @default.
- W2107053485 cites W2046041989 @default.
- W2107053485 cites W2054180938 @default.
- W2107053485 cites W2064924541 @default.
- W2107053485 cites W2066289589 @default.
- W2107053485 cites W2070811844 @default.
- W2107053485 cites W2085315239 @default.
- W2107053485 cites W2087803136 @default.
- W2107053485 cites W2108497509 @default.
- W2107053485 cites W2109026015 @default.
- W2107053485 cites W2110755408 @default.
- W2107053485 cites W2111513141 @default.
- W2107053485 cites W2113282024 @default.
- W2107053485 cites W2115610250 @default.
- W2107053485 cites W2117704482 @default.
- W2107053485 cites W2125418992 @default.
- W2107053485 cites W2132926880 @default.
- W2107053485 cites W2133454438 @default.
- W2107053485 cites W2140308583 @default.
- W2107053485 cites W2142053228 @default.
- W2107053485 cites W2142635246 @default.
- W2107053485 cites W2142678478 @default.
- W2107053485 cites W2144456315 @default.
- W2107053485 cites W2145307001 @default.
- W2107053485 cites W2148966488 @default.
- W2107053485 cites W2153854559 @default.
- W2107053485 cites W2159946869 @default.
- W2107053485 cites W2162967657 @default.
- W2107053485 cites W2167709329 @default.
- W2107053485 cites W2169773990 @default.
- W2107053485 doi "https://doi.org/10.1093/sysbio/sys051" @default.
- W2107053485 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22610088" @default.
- W2107053485 hasPublicationYear "2012" @default.
- W2107053485 type Work @default.
- W2107053485 sameAs 2107053485 @default.
- W2107053485 citedByCount "70" @default.
- W2107053485 countsByYear W21070534852012 @default.
- W2107053485 countsByYear W21070534852013 @default.
- W2107053485 countsByYear W21070534852014 @default.
- W2107053485 countsByYear W21070534852015 @default.
- W2107053485 countsByYear W21070534852016 @default.
- W2107053485 countsByYear W21070534852017 @default.
- W2107053485 countsByYear W21070534852018 @default.
- W2107053485 countsByYear W21070534852019 @default.
- W2107053485 countsByYear W21070534852020 @default.
- W2107053485 countsByYear W21070534852021 @default.
- W2107053485 countsByYear W21070534852022 @default.
- W2107053485 countsByYear W21070534852023 @default.
- W2107053485 crossrefType "journal-article" @default.
- W2107053485 hasAuthorship W2107053485A5014135253 @default.
- W2107053485 hasAuthorship W2107053485A5015429043 @default.
- W2107053485 hasBestOaLocation W21070534851 @default.
- W2107053485 hasConcept C104317684 @default.
- W2107053485 hasConcept C141231307 @default.
- W2107053485 hasConcept C193252679 @default.
- W2107053485 hasConcept C20750100 @default.
- W2107053485 hasConcept C51679486 @default.
- W2107053485 hasConcept C54355233 @default.
- W2107053485 hasConcept C78458016 @default.
- W2107053485 hasConcept C86803240 @default.
- W2107053485 hasConcept C90132467 @default.
- W2107053485 hasConcept C94043034 @default.
- W2107053485 hasConceptScore W2107053485C104317684 @default.
- W2107053485 hasConceptScore W2107053485C141231307 @default.
- W2107053485 hasConceptScore W2107053485C193252679 @default.
- W2107053485 hasConceptScore W2107053485C20750100 @default.
- W2107053485 hasConceptScore W2107053485C51679486 @default.
- W2107053485 hasConceptScore W2107053485C54355233 @default.
- W2107053485 hasConceptScore W2107053485C78458016 @default.
- W2107053485 hasConceptScore W2107053485C86803240 @default.
- W2107053485 hasConceptScore W2107053485C90132467 @default.
- W2107053485 hasConceptScore W2107053485C94043034 @default.
- W2107053485 hasIssue "5" @default.
- W2107053485 hasLocation W21070534851 @default.
- W2107053485 hasLocation W21070534852 @default.
- W2107053485 hasOpenAccess W2107053485 @default.
- W2107053485 hasPrimaryLocation W21070534851 @default.
- W2107053485 hasRelatedWork W1999476066 @default.
- W2107053485 hasRelatedWork W2130436157 @default.
- W2107053485 hasRelatedWork W2147462801 @default.
- W2107053485 hasRelatedWork W2164867906 @default.
- W2107053485 hasRelatedWork W2381792314 @default.
- W2107053485 hasRelatedWork W2592268595 @default.
- W2107053485 hasRelatedWork W2608097890 @default.
- W2107053485 hasRelatedWork W2724259616 @default.